All of the above
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<span>Answer - Hotspots</span>
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</span>
<span>Public places where you can wirelessly
connect to the internet are known as Wi-Fi hotspots. Common Wi-Fi hotspot locations
(where wireless internet connection is offered) include such places as cafes,
hotels, airports, and libraries. These businesses usually create hotspots for
the use of their customers.</span>
1) back up your data
2) delete any personal information
3) clear cookies, browsing data, and saved passwords
4) restore any settings you may have changed to original settings
Answer: Arial belongs to the sans serif family of typefaces. It is the most commonly used typeface, and it is the default typeface set in Microsoft Word. A character is a typographic element represented through an upper- or lowercase letter, number, or special character. Every letter of the alphabet has multiple parts that we describe with a particular set of terms. Typographers call this “letter anatomy.” The basic terms common to all letters are below:
An ascender is the stroke extending upward, going above the x-height (which is the height of the letter excluding the ascender or descender).
A descender is the stroke extending downward from the baseline (which is the imaginary horizontal line that aligns the bodies of the characters).
A bar is the horizontal stroke in the uppercase letters A, E, F, H, I, and T, as well as in the lowercase letters e, f, and t.
A counter is the blank space within the body stroke.
A bowl is a curved stroke that surrounds the counter.
A shoulder is a curved stroke beginning at the stem.
A serif is the tapered feature at the end of a stroke. Arial is a sans serif font, and it does not have tapered corners at the ends of the main strokes.
Answer:
A neuromorphic computer is a machine comprising many simple processors / memory structures (e.g. neurons and synapses) communicating using simple messages (e.g. spikes). ... Neuromorphic computing systems excel at computing complex dynamics using a small set of computational primitives (neurons, synapses, spikes).
Explanation:
The structure of neuromorphic computers makes them much more efficient at training and running neural networks. They can run AI models at a faster speed than equivalent CPUs and GPUs while consuming less power. This is important since power consumption is already one of AI's essential challenges.
